After successfully developing a model-based online planner for the multi-engine hyper-modular prototype printer at PARC, we began investigating other applications with similar cha...
Minh Binh Do, Lawrence Lee, Rong Zhou, Lara S. Cra...
This paper introduces a well defined co-operation between domain expert, knowledge engineer, and knowledge acquisition and transformation tools. First, the domain expert supported...
Background: Incorporation of ontologies into annotations has enabled 'semantic integration' of complex data, making explicit the knowledge within a certain field. One of...
act—Ontological concept evaluation is a difficult task. Till now, it is done either by domain expert or a knowledge base (thesaurus, ontology, etc.). In this research, we propose...
Business process management (BPM) has emerged as a dominant technology in current enterprise systems and business solutions. However, business processes are always evolving in cur...
: The mathematical nature of description logics has meant that domain experts find it hard to understand. This forms a significant impediment to the creation and adoption of ontolo...
Knowledge elicitation is known to be a difficult task and thus a major bottleneck in building a knowledge base. Machine learning has long ago been proposed as a way to alleviate th...
Martin Mozina, Matej Guid, Jana Krivec, Aleksander...
Abstract. Ontology construction is a labour-intensive and costly process. Even though many formal and semi-formal vocabularies are available, creating an ontology for a specific ap...
Nicole J. J. P. Koenderink, Mark van Assem, J. Lar...
Many kinds of knowledge-based system would be easier to develop and maintain if domain experts (as opposed to knowledge engineers) were in a position to define and edit the knowled...
Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...